Predicting suicidality using a computer adaptive test: Two longitudinal studies of sexual and gender minority youth

Brian Mustanski, Sarah W. Whitton, Michael E. Newcomb, Antonia Clifford, Daniel T. Ryan, Robert D. Gibbons

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE: Over the past decade, rates of death by suicide have increased among youth. Efficient and effective screening approaches are needed for suicide prevention. Sexual and gender minority youth (SGMY) experience profound disparities, but little is known about subgroups and risk assessments need to be validated. This study tested the psychometric properties and predictive value of a highly efficient computerized adaptive test for suicide risk (CAT-SS) among SGMY. METHODS: Participants in two cohort studies of SGMY completed the CAT-SS and validated measures of suicidality in 2018 (n = 1,073) and at their follow-up visit 6 months later (n = 936). Tests of psychometrics and predictive validity were performed. RESULTS: Younger, assigned female at birth, nonmonosexual (e.g., bisexual; relative to monosexual), and gender nonconforming or nongender binary (relative to cisgender and transgender) participants had significantly higher CAT-SS scores. None of the CAT-SS items met the threshold for differential item functioning. In longitudinal analyses, prediction of suicidality moved from poor to good accuracy once CAT-SS was included in the model. CAT-SS significantly improved prediction of suicidality over-and-above reported suicidality at a prior wave. CONCLUSIONS: The current study validated CAT-SS as a brief predictor of suicide risk in the disproportionately affected population of SGMY. Screening of SGMY in clinical and community settings using CAT-SS could allow for the identification of participants that need services to reduce their risk of future suicide. Results support the need for particular attention to suicide prevention among SGMY who are teenagers, assigned female at birth, nonmonosexual, and gender nonconforming or nongender binary. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Original languageEnglish (US)
Pages (from-to)166-175
Number of pages10
JournalJournal of Consulting and Clinical Psychology
Volume89
Issue number3
DOIs
StatePublished - Mar 1 2021

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Predicting suicidality using a computer adaptive test: Two longitudinal studies of sexual and gender minority youth'. Together they form a unique fingerprint.

Cite this